D-I-TASSER P05162

D-I-TASSER results for P05162

[Click result.zip to download all results on this page]

Summary of the Protein

Uniprot ID: P05162
Protein Name: Galectin-2
Gene Name: LGALS2

Input Sequence in FASTA format

>P05162 (132 residues)
MTGELEVKNMDMKPGSTLKITGSIADGTDGFVINLGQGTDKLNLHFNPRFSESTIVCNSL
DGSNWGQEQREDHLCFSPGSEVKFTVTFESDKFKVKLPDGHELTFPNRLGHSHLSYLSVR
GGFNMSSFKLKE

Predicted Contact and Distance Map Used in D-I-TASSER simulation

Contact Map

Distance Map

D-I-TASSER simulation is guided by the consensus contact map (left figure) and distance map (right figure) derived based on confidence scores of DeepPotential. In the contact, distance map and hydrogen bond networks, the axes mark the residue index along the sequence. For the contact map, each dot represents a residue pair with predicted contact, while for the distance map and hydrogen bond network, a color scale represents a distance of 1-20+ angstroms or a angle of 0-180 degree.

Information of Domain

No. of Domain	Domain	Domain Boundary	Length of Domain	Models of Domain	Sequence
1	P05162-D1	1-132	132		MTGELEVKNMDMKPGSTLKITGSIADGTDGFVINLGQGTDKLNLHFNPRFSESTIVCNSLDGSNWGQEQREDHLCFSPGSEVKFTVTFESDKFKVKLPDGHELTFPNRLGHSHLSYLSVRGGFNMSSFKLKE

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.9549

(a)

D-I-TASSER simulations generate a large ensemble of structural conformations, i.e. decoys. These decoys are clustered by SPICKER based on pairwise structure similarity to report up to five final models from the five largest clusters. Models are ranked in descending order of cluster size. If the simulations converge well, it is possible to have less than 5 models generated, which is usually an indication of good model quality.

(b)

The model confidence is quantitatified by estimated TM-score (eTM-score), calculated based on significance of threading template alignments, contact map satisfaction rate, mean absolute error between distance of model and distance of DeepPotential, and convergence of D-I-TASSER simulations. eTM-score is typically in the range of [0, 1], with higher eTM-score signifies higher model confidence.

Proteins with similar structure

Top 10 structural analogs in PDB (as identified by TM-align)

Rank	PDB Hit	TM-score	RMSD^a	IDEN^a	Cov.	Download Alignment
1	1hlcA	0.96	0.54	1.000	0.977	model1_1hlcA.pdb.gz
2	2ymzA	0.95	0.92	0.538	0.985	model1_2ymzA.pdb.gz
3	6m5yA1	0.95	0.92	0.431	0.985	model1_6m5yA1.pdb.gz
4	1ganA	0.94	1.14	0.354	0.985	model1_1ganA.pdb.gz
5	3wudA	0.93	1.00	0.352	0.970	model1_3wudA.pdb.gz
6	1wlcA	0.93	1.05	0.302	0.977	model1_1wlcA.pdb.gz
7	1qmjA	0.93	0.97	0.391	0.970	model1_1qmjA.pdb.gz
8	3wucA	0.93	1.04	0.326	0.970	model1_3wucA.pdb.gz
9	6e20A	0.92	1.00	0.370	0.962	model1_6e20A.pdb.gz
10	3wv6A2	0.91	1.59	0.227	0.992	model1_3wv6A2.pdb.gz

(a)	Query structure is shown in cartoon, while the structural analog is displayed using backbone trace.
(b)	Ranking of proteins is based on TM-score of the structural alignment between the query structure and known structures in the PDB library.
(c)	RMSD^a is the RMSD between residues that are structurally aligned by TM-align.
(d)	IDEN^a is the percentage sequence identity in the structurally aligned region.
(e)	Cov. represents the coverage of the alignment by TM-align and is equal to the number of structurally aligned residues divided by length of the query protein.

Predicted Gene Ontology (GO) Terms

Molecular Function (MF)

GO term	Cscore^GO	Name
GO:0097367	0.74	carbohydrate derivative binding
GO:0016936	0.67	galactoside binding
GO:0030246	0.60	carbohydrate binding
GO:0097159	0.53	organic cyclic compound binding
GO:1901363	0.52	heterocyclic compound binding

Download full result of the above consensus prediction.

Click the graph to show a high resolution version.

(a)

Cscore^GO is the confidence score of predicted GO terms. Cscore^GO values range in between [0-1]; where a higher value indicates a better confidence in predicting the function using the template.

(b)

The graph shows the predicted terms within the Gene Ontology hierachy for Molecular Function. Confidently predicted terms are color coded by Cscore^GO:

[0.4,0.5)

[0.5,0.6)

[0.6,0.7)

[0.7,0.8)

[0.8,0.9)

[0.9,1.0]

Biological Process (BP)

GO term	Cscore^GO	Name
GO:0044699	0.89	single-organism process
GO:0009987	0.89	cellular process
GO:0044763	0.80	single-organism cellular process
GO:0065007	0.78	biological regulation
GO:0050789	0.78	regulation of biological process
GO:0050794	0.77	regulation of cellular process
GO:0048518	0.70	positive regulation of biological process
GO:0048522	0.65	positive regulation of cellular process
GO:0048583	0.64	regulation of response to stimulus
GO:2000026	0.61	regulation of multicellular organismal development
GO:0048584	0.60	positive regulation of response to stimulus
GO:0048869	0.58	cellular developmental process
GO:0045595	0.58	regulation of cell differentiation
GO:0050896	0.56	response to stimulus
GO:0002682	0.56	regulation of immune system process
GO:0002684	0.55	positive regulation of immune system process
GO:0002376	0.55	immune system process
GO:0051240	0.54	positive regulation of multicellular organismal process
GO:0051094	0.54	positive regulation of developmental process
GO:0048519	0.54	negative regulation of biological process
GO:0022407	0.53	regulation of cell-cell adhesion
GO:0009966	0.53	regulation of signal transduction
GO:0048523	0.52	negative regulation of cellular process
GO:0045597	0.52	positive regulation of cell differentiation
GO:0050863	0.51	regulation of T cell activation
GO:0050767	0.51	regulation of neurogenesis
GO:0006950	0.51	response to stress
GO:0080134	0.50	regulation of response to stress
GO:0065008	0.50	regulation of biological quality
GO:0043900	0.50	regulation of multi-organism process
GO:0022409	0.50	positive regulation of cell-cell adhesion
GO:0009967	0.50	positive regulation of signal transduction

Download full result of the above consensus prediction.

Click the graph to show a high resolution version.

(a)

Cscore^GO is the confidence score of predicted GO terms. Cscore^GO values range in between [0-1]; where a higher value indicates a better confidence in predicting the function using the template.

(b)

The graph shows the predicted terms within the Gene Ontology hierachy for Biological Process. Confidently predicted terms are color coded by Cscore^GO:

[0.4,0.5)

[0.5,0.6)

[0.6,0.7)

[0.7,0.8)

[0.8,0.9)

[0.9,1.0]

Cellular Component (CC)

GO term	Cscore^GO	Name
GO:0044464	0.97	cell part
GO:0044424	0.90	intracellular part
GO:0044421	0.73	extracellular region part
GO:0043226	0.67	organelle
GO:0043227	0.66	membrane-bounded organelle
GO:0044444	0.61	cytoplasmic part
GO:0016020	0.59	membrane
GO:0005615	0.59	extracellular space
GO:0005737	0.54	cytoplasm

Download full result of the above consensus prediction.

Click the graph to show a high resolution version.

(a)

Cscore^GO is the confidence score of predicted GO terms. Cscore^GO values range in between [0-1]; where a higher value indicates a better confidence in predicting the function using the template.

(b)

The graph shows the predicted terms within the Gene Ontology hierachy for Cellular Component. Confidently predicted terms are color coded by Cscore^GO:

[0.4,0.5)

[0.5,0.6)

[0.6,0.7)

[0.7,0.8)

[0.8,0.9)

[0.9,1.0]

Predicted Enzyme Commission (EC) Numbers

Top 5 enzyme homologs in PDB

Rank	Cscore^EC	PDB Hit	TM-score	RMSD^a	IDEN^a	Cov.	EC Number	Predicted Active Site Residues
1	0.167	1lclA	0.852	2.15	0.185	0.985	3.1.1.5	21,76,96
2	0.067	1byhA	0.720	2.87	0.087	0.962	3.2.1.73	NA
3	0.067	2hykA	0.731	2.89	0.076	0.977	3.2.1.39	NA
4	0.066	2ifwA	0.664	3.14	0.096	0.932	3.4.23.32	NA
5	0.060	1ajkA	0.569	3.10	0.075	0.788	3.2.1.73	NA

	Click on the radio buttons to visualize predicted active site residues.
(a)	Cscore^EC is the confidence score for the Enzyme Commission (EC) number prediction. Cscore^EC values range in between [0-1]; where a higher score indicates a more reliable EC number prediction.
(b)	TM-score is a measure of global structural similarity between query and template protein.
(c)	RMSD^a is the RMSD between residues that are structurally aligned by TM-align.
(d)	IDEN^a is the percentage sequence identity in the structurally aligned region.
(e)	Cov. represents the coverage of global structural alignment and is equal to the number of structurally aligned residues divided by length of the query protein.

Predicted Ligand Binding Sites

Template proteins with similar binding site:

Rank	Cscore^LB	PDB Hit	TM-score	RMSD^a	IDEN^a	Cov.	BS-score	Lig. Name	Download Complex	Predicted binding site residues
1	0.84	1hlcA	0.962	0.54	1.000	0.977	1.79	UUU	complex1.pdb.gz	45,47,49,58,65,68,70,120
2	0.43	1gzwB	0.935	1.26	0.431	0.985	0.81	UUU	complex2.pdb.gz	45,47,49,58
3	0.30	2zhlA	0.906	1.54	0.229	0.985	1.14	UUU	complex3.pdb.gz	34,45,47,49,56,58,65,68,70,120
4	0.08	1slbA	0.946	1.20	0.423	0.985	0.80	UUU	complex4.pdb.gz	45,47,49,58
5	0.07	1c1l0	0.885	1.65	0.315	0.962	1.01	III	complex5.pdb.gz	39,115,116,117,118,119,124,125,126,127,128,129,130
6	0.06	1bkz0	0.883	1.80	0.267	0.992	1.13	III	complex6.pdb.gz	13,14,18,20,86,87,88,94,96,99,128,130

	Click on the radio buttons to visualize predicted binding site and residues.
(a)	Cscore^LB is the confidence score of predicted binding site. Cscore^LB values range in between [0-1]; where a higher score indicates a more reliable ligand-binding site prediction.
(b)	BS-score is a measure of local similarity (sequence & structure) between template binding site and predicted binding site in the query structure. Based on large scale benchmarking analysis, we have observed that a BS-score >1 reflects a significant local match between the predicted and template binding site.
(c)	TM-score is a measure of global structural similarity between query and template protein.
(d)	RMSD^a the RMSD between residues that are structurally aligned by TM-align.
(e)	IDEN^a is the percentage sequence identity in the structurally aligned region.
(f)	Cov. represents the coverage of global structural alignment and is equal to the number of structurally aligned residues divided by length of the query protein.

[Click result.zip to download all results on this page]

References:
1.	Wei Zheng, Qiqige Wuyun, Yang Li, Quancheng Liu, Xiaogen Zhou, Yiheng Zhu, P. Lydia Freddolino, Yang Zhang. Integrating deep learning potentials with I-TASSER for single- and multi-domain protein structure prediction. Submitted. 2023.